SEP makes the core algorithms of sextractor available as a library of stand-alone functions and classes. These operate directly on in-memory arrays (no FITS files or configuration files). The code is derived from the Source Extractor code base (written in C) and aims to produce results compatible with Source Extractor whenever possible. SEP consists of a C library with no dependencies outside the standard library, and a Python module that wraps the C library in a Pythonic API. The Python wrapper operates on NumPy arrays with NumPy as its only dependency.

PyERFA is the Python wrapper for the ERFA library (Essential Routines for Fundamental Astronomy), a C library containing key algorithms for astronomy, which is based on the SOFA library published by the International Astronomical Union (IAU). All C routines are wrapped as Numpy universal functions, so that they can be called with scalar or array inputs.

This package provides an access to the JWST Science Calibration Pipeline processes data from all JWST instruments and observing modes by applying various science corrections sequentially, producing both fully-calibrated individual exposures and high-level data products (mosaics, extracted spectra, etc.).

This package provides a Python definition and validation schemata for FITS files.

pysiaf is a python package to access, interpret, maintain, and generate Handling of Science Instrument Aperture Files, in particular for JWST. Tools for applying the frame transformations, plotting, comparison, and validation are provided.

This package provides ALFA, which can identify and fit hundreds of lines in emission line spectra in just a few seconds with following features:

• A population of synthetic spectra is generated using a reference line catalogue.

• The goodness of fit for each synthetic spectrum is calculated. The best sets of parameters are retained and the rest discarded.

• A new population of synthetic spectra is obtained by averaging pairs of the best performers.

• A small fraction of the parameters of the lines in the new generation are randomly altered.

• The process repeats until a good fit is obtained.

This package provides an image processing toolbox for Solar Physics.

SunPy is package for solar physics and is meant to be a free alternative to the SolarSoft data analysis environment.

It includes an interface for searching and downloading data from multiple data providers, data containers for image and time series data, commonly used solar coordinate frames and associated transformations, as well as other functionality needed for solar data analysis.

Orbital is a high level orbital mechanics package for Python.

Ginga is a toolkit designed for building viewers for scientific image data in Python, visualizing 2D pixel data in numpy arrays. It can view astronomical data such as contained in files based on the FITS (Flexible Image Transport System) file format. It is written and is maintained by software engineers at the National Astronomical Observatory of Japan (NAOJ), the Space Telescope Science Institute (STScI), and other contributing entities.

The Ginga toolkit centers around an image display object which supports zooming and panning, color and intensity mapping, a choice of several automatic cut levels algorithms and canvases for plotting scalable geometric forms. In addition to this widget, a general purpose "reference" FITS viewer is provided, based on a plugin framework. A fairly complete set of standard plugins are provided for features that we expect from a modern FITS viewer: panning and zooming windows, star catalog access, cuts, star pick/FWHM, thumbnails, etc.

PHD2 is the enhanced,second generation version of the PHD guiding software from Stark Labs.

Stuff is a program that simulates "perfect" astronomical catalogues. It generates object lists in ASCII which can read by the SkyMaker program to produce realistic astronomical fields. Stuff is part of the EFIGI development project.

Radio Beam is a simple toolkit for reading beam information from FITS headers and manipulating beams. Some example applications include:

• Convolution and deconvolution

• Unit conversion (Jy to/from K)

• Handle sets of beams for spectral cubes with varying resolution between channels

• Find the smallest common beam from a set of beams

• Add the beam shape to a matplotlib plot

This package provides a Python wrapper for tempo2 - a high precision pulsar timing tool.

uranimator is a CLI tool that works with your existing (code uraniborg) install to create animations. See how the sky evolves over a million years or what traveling to a star 100 light years away looks like.

The COde-independent Organized LEns STandard (COOLEST) defines a set of conventions to be shared across the strong lensing community, in order to consistently store, share and improve lens modeling analyses. In short, this project provides tools to manipulate lens models as a single, human-readable JSON template file alongside Python routines for visualizing and comparing lens models possibly obtained from different modeling codes.

SkyMaker is a program that simulates astronomical images. It accepts object lists in ASCII generated by the Stuff program to produce realistic astronomical fields. SkyMaker is part of the EFIGI development project.

The GNU Astronomy Utilities (Gnuastro) is a suite of programs for the manipulation and analysis of astronomical data.

STPSF produces simulated PSFs for the James Webb Space Telescope, NASA's flagship infrared space telescope. STPSF can simulate images for any of the four science instruments plus the fine guidance sensor, including both direct imaging, coronagraphic, and spectroscopic modes.

This package provides a Python package to calculate gravitational-wave sensitivity curves for pulsar timing arrays.

Features:

• pulsar transmission functions

• inverse-noise-weighted transmission functions

• individual pulsar sensitivity curves

• pulsar timing array sensitivity curves as characteristic strain, strain sensitivity or energy density

• power-law integrated sensitivity curves

• sensitivity sky maps for pulsar timing arrays

This package provides general tools for astronomical time series in Python.

This is a library implementing the simplified perturbations model. It can be used to calculate the trajectory of satellites.

Hubble Space Telescope image combination using the drizzle algorithm to combine astronomical images, to model image distortion, to remove cosmic rays, and generally to improve the fidelity of data in the final image.

Provides DataModel, which is the base class for data models implemented in the JWST and Roman calibration software.